AI SOLUTIONS

Start with one system. 
Scale into an AI workforce.

Some companies start with a single AI use case. Others want to rethink how their operations run. We support both - and build every system so it can scale into AI-driven operations.

APPROACH

Designed to scale from day one

Every system we build connects to the same execution framework - Agentic Factory.

What starts as one AI deployment can evolve into a network of agents running real operational work across your organization.

CAPABILITIES

Three ways to start

Every company starts from a different point - whether that's identifying where AI creates value, building the right infrastructure, or deploying systems immediately. Our capabilities cover the full path.

AI Strategy

Identify systems worth building. Most organizations know AI matters. Few know where to start. We work with leadership teams to identify where AI can create the highest operational impact. Not a vision deck. A practical execution roadmap.

What we build:

Identify AI opportunities across operations, workflows, and decision processes

Evaluate ROI, cost structures, and deployment complexity per use case

Prioritize opportunities based on impact, feasibility, and speed to production

Define the build vs buy vs partner strategy for each system

Align leadership, technology, and domain teams on the execution plan

4-8 Weeks

Typical scope

AI deployment roadmap with quantified business impact

Output

AI Infrastructure

Build the foundation that can run AI at scale. Most organizations experiment with AI, but few have infrastructure built for production. We design the data, cloud, and governance architecture to run AI reliably in enterprise environments - including integration, data access, and safe operation.

What we build:

AI-ready data architecture - pipelines, access layers, quality control

Cloud infrastructure optimized for AI workloads

Secure integration with enterprise systems (ERP, CRM, internal tools)

Governance frameworks for model monitoring, auditability, and compliance

Security and compliance architecture aligned with enterprise standards

8-16 Weeks

Typical scope

Production-ready AI infrastructure

Output

AI Engineering

Deploy AI systems into real operations. This is where AI moves from experimentation to production. We build custom AI-native systems - often in the form of agents that perform tasks, coordinate workflows, or support decision-making - tailored to your environment.

What we build:

AI agents for operational workflows, back-office processes, and customer interactions

LLM-powered systems with enterprise-grade safety and validation layers

AI-native platforms designed around real user workflows

Integration with enterprise systems and internal tools

Deployment into production environments (cloud, on-premise, or hybrid)

8-12 Weeks

Typical scope

AI system running in production

Output

HOW PROJECTS START

Most engagements start with one AI system and evolve into Agentic Factory.

Nr.
Phase
Objective
Output

01

Initial discussion
A short conversation to understand your operations, current systems, and where AI could create the most value.
Initial assessment

02

Scoping
We analyze your workflows, systems, and constraints to define a concrete project scope.
Proposal with scope
Timeline
Commercial model

03

Build & deploy
We develop the system in sprints with continuous feedback and early deployments. You see real progress - not status updates.
Working AI system

04

Operate or handover
We either operate the system together with your team or hand it over with full documentation and training.
Long-term operational capability

Stop running AI pilots.
Start running AI operations.

Offices

Where we operate

Berlin

Saarbrücker Str. 19
10405 Berlin
Germany

Zagreb

Ul. kneza Branimira 41,
10000, Zagreb

Croatia

Riyadh

(Coming soon)